Review on Enhanced Offline Signature Recognition Using Neural Network and LDA

Biometrics refers to recognizing an individual based on his or her physiological or behavioural qualities. Signature verification systems can be classified as offline (static) and online (dynamic). This paper presents neural network based distinguishment of offline signatures system that is prepared with low-resolution scanned images of signature. The signature of a person is a vital biometric attribute of a person which can be utilized to verify the identity of human. However human signatures can be taken care of an image and recognized using computer vision and neural network techniques and LDA (Linear Discriminant Analysis). With advanced computers there is have to develop fast algorithms. With a lot of scope of research there are various approaches to signature recognition. In this paper off-line signature recognition & verification using neural network and LDA is proposed where the signature is caught and displayed to the user in the format of an image. Utilizing various image processing techniques the Off-line Signature Recognition and Verification is implemented. This work has been tested and discovered suitable for its

[1]  A. N. Rajagopalan,et al.  Off-line signature verification using DTW , 2007, Pattern Recognit. Lett..

[2]  Pradeep Kumar,et al.  Hand Written Signature Recognition & Verification using Neural Network , 2013 .

[3]  Reza Ebrahimpour,et al.  Robust Model for Signature Recognition Based on Biological Inspired Features , 2010 .

[4]  Berrin A. Yanikoglu,et al.  Identity authentication using improved online signature verification method , 2005, Pattern Recognit. Lett..

[5]  Introduction to the Special Issue on Recent Advances in Biometric Systems , 2007 .

[6]  Peter Kulchyski.  and , 2015 .

[7]  Sanjay Kumar Jena,et al.  Improved offline signature verification scheme using feature point extraction method , 2008, 2008 7th IEEE International Conference on Cognitive Informatics.

[8]  Banshider Majhi,et al.  Novel Features for Off-line Signature Verification , 2006, Int. J. Comput. Commun. Control.

[9]  G. A. Khuwaja.  Fingerprint identification with LVQ , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

[10]  Abdullah I. Al-Shoshan,et al.  Handwritten Signature Verification Using Image Invariants and Dynamic Features , 2006, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06).

[11]  Flávio Bortolozzi,et al.  A comparison of SVM and HMM classifiers in the off-line signature verification , 2005, Pattern Recognit. Lett..

[12]  Shalini Bhatia,et al.  Off-line Signature Verification Using Neural Network , 2012 .

[13]  Gulzar A. Khuwaja,et al.  An Adaptive Combined Classifier System for Invariant Face Recognition , 2002, Digit. Signal Process..

[14]  Flávio Bortolozzi,et al.  Off-line signature verification using HMM for random, simple and skilled forgeries , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[15]  Robert Sabourin,et al.  A neural network approach to off-line signature verification using directional PDF , 1996, Pattern Recognit..

[16]  M. Grgic,et al.  A survey of biometric recognition methods , 2004, Proceedings. Elmar-2004. 46th International Symposium on Electronics in Marine.

[17]  B. Kovari,et al.  Off-Line Signature Verification Based on Feature Matching , 2007, 2007 11th International Conference on Intelligent Engineering Systems.

[18]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[19]  M. Tech Scholar.  Signature Verification Using Morphological Features Based on Artificial Neural Network , 2012 .

[20]  Nilesh Y. Choudhary,et al.  Signature Recognition & Verification System Using Back Propagation Neural Network , 2013 .

[21]  Jesus Francisco Vargas Bonilla,et al.  Offline Signature Verification Based on Pseudo-Cepstral Coefficients , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[22]  Andrew Beng Jin Teoh,et al.  Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism , 2009, 2009 International Conference on Computer Engineering and Technology.

[23]  Sharifah Mumtazah Syed Ahmad,et al.  Analysis of ‘goat’ within user population of an offline signature biometrics , 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

[24]  Marcin Piekarczyk.  Hierarchical Random Graph Model for Off-line Handwritten Signatures Recognition , 2010, 2010 International Conference on Complex, Intelligent and Software Intensive Systems.

[25]  K. R. Radhika,et al.  Off-Line Signature Authentication Based on Moment Invariants Using Support Vector Machine , 2010 .